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SCI, SCI-Expanded Uluslararası Hakemli Dergilerde Yayınlanan Makaleler

1. Kavzoglu, T., Bilucan. F., (2023). Effects of auxiliary and ancillary data on LULC classification in a heterogeneous environment using optimized random forest algorithm. Earth Science Informatics, 16, 415-435. https://doi.org/10.1007/s12145-022-00874-9 (Link)
2. Ergun, B., Sahin, C., Bilucan. F., (2023). Level of detail (LoD) geometric analysis of relief mapping employing 3D modeling via UAV images in cultural heritage studies. Heritage Science, 11, 194. https://doi.org/10.1186/s40494-023-01041-z (Link)

Uluslararası Bildiriler

1. Ergun, B., Sahin, C.,Bilucan, F., (2023). Digital Twin Base Model Study by Means of UAV Photogrammetry for Library of Gebze Technical University, The 8TH Smart City Applications International Conference (SCA), 04-06 October 2023, Paris, France. (Link)
2. Ergun, B., Sahin, C., Bilucan, F., (2023). 3D Modeling of Gebze Technical University Electronics Engineering Building with UAV Photogrammetry Method for Integration to Smart City Applications, 17th International Scientific Research Congress (UBAK), 19-20 August 2023, Ankara, Türkiye. (Link)
3. Bilucan, F., Teke, A., Kavzoglu, T. (2022). Susceptibility Mapping of Wildfires Using XGBoost, Random Forest and AdaBoost: A Case Study of Mediterranean Ecosystem, Mediterranean Geoscience Union Annual Meeting (MedGU), 27-30 November 2022, Marrakesh, Morocco. (Link)
4. Bilucan, F., and Kavzoglu, T., (2021). Contribution of auxiliary and ancillary data to land use/land cover classification performance using Sentinel-2A images. International Symposium on Applied Geoinformatics (ISAG), 2-3 December 2021, Riga, Latvia. (Link)
5. Bilucan, F., and Kavzoglu, T., (2021). The Effect of Auxiliary Data (Slope, Aspect and Elevation) on Land Use/Land Cover Classification Accuracy of Sentinel–2A Image Using Random Forest Classifier. 2nd Intercontinental Geoinformation Days (IGD), 5-6 May 2021, Mersin, Türkiye (Link)
6. Kavzoglu,T.,Bilucan, F., Teke, A., (2020) Comparison of Support Vector Machines, Random Forest and Decision Tree Methods for Classification of Sentinel - 2A Image Using Different Band Combinations, The 41th Asian Conference on Remote Sensing (ACRS), 9-11 November, Deqinq, China. (Link)
7. Kavzoglu, T., Teke., A.,Bilucan, F., (2020) Effectiveness of Machine Learning Algorithms in Landslide Susceptibility Mapping: A Case Study of Trabzon Province, Turkey, The 41th Asian Conference on Remote Sensing (ACRS), 9-11 November, Deqinq, China.(Link)

Ulusal Bildiriler

1. Bilucan, F., Teke, A., Kavzoglu, T. (2022). Topluluk Tabanlı Makine Öğrenmesi Algoritmaları ile Orman Yangını Duyarlılık Haritalaması: Hatay Örneği, VIII. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL- CBS 2022), 17-19 Kasım 2022, Ankara, Türkiye. (Link)

SCI Uluslararası Dergilerde Hakemlik

1. Arabian Journal of Geosciences

Go to CourseWeb pages

Bilücan, F., "Uydu Görüntülerinin İşlenmesinde Kullanılan Yardımcı Veriler ve Sınıflandırma Doğruluğuna Etkileri", Gebze Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 2021. (Link)

• Third Cycle (Doctoral): Gebze Teknik Üniversitesi, Harita Mühendisliği (2021-Devam ediyor)
• Second Cycle (Master's): Gebze Teknik Üniversitesi, Harita Mühendisliği (2020-2021)
  İstanbul Teknik Üniversitesi, Geomatik Mühendisliği (2018-2020)
• First Cycle (Undergraduate): İstanbul Teknik Üniversitesi, Geomatik Mühendisliği (2018)